IoT & Edge Computing

    Deploying smart sensors and edge-computing networks that process data locally for millisecond-latency decision making.

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    IoT & Edge Computing

    Key Capabilities

    1

    Digital Twin Implementation

    Creating virtual replicas of physical assets to simulate scenarios and predict failures before they occur.

    2

    Edge Analytics

    Filtering and analyzing high-volume sensor data at the source, sending only relevant insights to the cloud to save bandwidth.

    3

    Mesh Networking

    Robust device-to-device communication protocols that maintain network integrity even in disconnected environments.

    Fog Computing Framework

    Moving the 'Brain' closer to the 'Hand' for instant reflexes.

    We address the challenge of 'Data Gravity' - the fact that moving massive amounts of sensor data to the cloud is slow and expensive. Our 'Fog Computing' strategy pushes intelligence down to the edge gateway (e.g., NVIDIA Jetson or Raspberry Pi), allowing decisions to be made in microseconds.

    We deploy Digital Twins - virtual replicas of your physical assets. By simulating operational changes on the digital twin first, we can predict failures and optimize performance without risking physical equipment.

    Our secure mesh networking protocols allow devices to communicate peer-to-peer, forming a resilient swarm that functions autonomously even if the central internet connection is severed.

    Approach

    Our Methodology

    A structured approach to delivery that ensures consistency and quality.

    1

    Device Provisioning

    Securely deploying and authenticating sensors and gateways across your physical infrastructure using zero-touch provisioning.

    2

    Edge Logic Deployment

    Pushing containerized analytics models (Docker) to edge devices to enable local processing and filtering.

    3

    Cloud Sync Strategy

    Configuring efficient data transmission protocols (MQTT/CoAP) to send only anomalous or aggregated data to the cloud.

    4

    Digital Twin Mapping

    Visualizing live device states in a 3D dashboard to monitor performance and simulate operational changes.

    Technology Stack

    Built on modern, enterprise-grade frameworks and infrastructure.

    Edge Runtime

    AWS GreengrassAzure IoT EdgeDockerK3s

    Protocols

    MQTTOPC-UACoAPLoRaWAN

    Hardware Support

    Raspberry PiNVIDIA JetsonESP32Siemens IoT

    Why Choose RSA Tech

    Delivering measurable impact through verified engineering excellence.

    Predictive Maintenance
    Real-Time Asset Tracking
    Energy Consumption Optimization
    Remote Diagnostics
    Industrial Automation (Industry 4.0)
    Secure Device Management